Fan Li^1,#, Xin Cai^2,#, Yanan Zhang^1,*, Xingwen Guo^2,*, Minmin Jiang³

Journal of Renewable Materials, Vol.11, No.4, pp. 1745-1762, 2023, DOI:10.32604/jrm.2022.024380

Abstract In this paper, the effects of different influencing factors and factor interaction on the compressive strength and permeability of recycled aggregate pervious concrete (RAPC) were studied based on the response surface method (RSM). By selecting the maximum aggregate size, water cement ratio and target porosity as design variables, combined with laboratory tests and numerical analysis, the influences of three factors on the compressive strength and permeability coefficient of RAPC were revealed. The regression equation of compressive strength and permeability coefficient of recycled aggregate pervious concrete were established based on RSM, and the response surface model was optimized to determine the… More >

Shoukai Chen^1,4,5, Chunpeng Xing¹, Mengdie Zhao^2,*, Junfeng Zhang³, Lunyan Wang^1,4,5,*, Qidong He⁶

Journal of Renewable Materials, Vol.10, No.3, pp. 799-819, 2022, DOI:10.32604/jrm.2022.017285

Abstract

Pervious concrete is recommended, which is of great benefit to the ecological environment and human living environment. In this paper, the influences of five water-cement ratios and four fly ash contents to replace the cement by mass with a water-cement ratio of 0.30 on the properties of Recycled Aggregate Pervious Concrete (RAPC) were studied. Following this, based on the Grey relational-Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) optimization method, the strength, permeability, abrasion loss rate, and material costs of RAPC were adopted as evaluation indices to establish a mix proportion optimization model. The results show that… More >